M ariano J. Padilla is a native of Guatemala, and has had a 15-year career in Computer Information, holding the position of Director of Information Systems for an international feature film subtitle and translation company. During his computer career, he designed fiber-optics networks with video servers and gigabit backbone infrastructure. His return to school marks a return to his original passions: engineering and applied physics. He participates in the Transfer Achievement Program (TAP), and the Mathematics, Engineering and Science Achievement program (MESA), and is a member of the Fullerton College Honors program. He is a facilitator at Fullerton College, where he conducts the supplemental instruction of Intermediate Algebra to students enrolled in the TAP program. He is a student member of the American Physical Society and the American Association for Advancement of Science. Dr. Kathleen Hodge, president of Fullerton College, appointed him to the Orange County Engineering Council, where he serves as a delegate to the council representing Fullerton College. He plans to pursue a doctorate degree in atomic theory, general theoretical involving M-Theory and string theory, particle physics or quantum gravity/relativistic physics. Y uan Liu is a research scientist at the Holifield Radioactive Ion Beam Facility (HRIBF) at Oak Ridge National Laboratory. She received her Ph.D. in electrical engineering from Rice University in 1987. After postdoctoral research at University of Washington in Seattle and University of Tennessee in Knoxville, she went to Japan to join the Advanced Technology Laboratories of Hoechst Japan in 1991. There, she was the project leader for the development of optical chemical sensors for on-line detection of organic pollutants in air and water. She has been at HRIBF since 1997. Her current research interests include high efficiency ion sources that generate beams of short-lived, unstable nuclei for nuclear physics and nuclear astrophysics research, laser based beam purification techniques, and new techniques to improve ion beam quality. She runs two separate experimental stations for developing and testing ion sources. DEVELOPMENT OF EMITTANCE ANALYSIS SOFTWARE FOR ION BEAM CHARACTERIZATION MARIANO J. PADILLA AND YUAN LIU ABSTRACT Transverse beam emittance is a crucial property of charged particle beams that describes their angular and spatial spread. It is a figure of merit frequently used to determine the quality of ion beams, the compatibility of an ion beam with a given beam transport system, and the ability to suppress neighboring isotopes at on-line mass separator facilities. Generally a high quality beam is characterized by a small emittance. In order to determine and improve the quality of ion beams used at the Holifield Radioactive Ion beam Facility (HRIBF) for nuclear physics and nuclear astrophysics research, the emittances of the ion beams are measured at the off-line Ion Source Test Facilities. In this project, emittance analysis software was developed to perform various data processing tasks for noise reduction, to evaluate root-mean-square emittance, Twiss parameters, and area emittance of different beam fractions. The software also provides 2D and 3D graphical views of the emittance data, beam profiles, emittance contours, and RMS. Noise exclusion is essential for accurate determination of beam emittance values. A Self-Consistent, Unbiased Elliptical Exclusion (SCUBEEx) method is employed. Numerical data analysis techniques such as interpolation and nonlinear fitting are also incorporated into the software. The software will provide a simplified, fast tool for comprehensive emittance analysis. The main functions of the software package have been completed. In preliminary tests with experimental emittance data, the analysis results using the software were shown to be accurate. program to assist with the data analysis is discussed in detail. Possible enhancements and additions to the software are also described. INTRODUCTION Nuclear and particle physics experiments use charged particle beams [1, 2]. The ability to transport the beams over long distances and/or to focus them into small areas depends largely on the quality of the beams; hence to have a measure of beam quality is paramount. The quality of a particle beam is usually described by its emittance and brightness. Ion beam emittance influences charged particle accelerator design, operation, mass resolution, and neighboring isotope suppression at on-line mass separator facilities. In this paper, the method used for transverse emittance measurement is briefly described and the development of a software Experimental Emittance Measurement The Ion Source Test Facility-2 (ISTF-2) is one of two off-line facilities at the Holifield Radioactive Ion Beam Facility (HRIBF) at Oak Ridge National Laboratory (ORNL) available to test ion sources for on-line generation of Radioactive Ion Beams (RIBs). The ISTF-2 consists of a high voltage platform, ion source, motor generator, cooling system, Einzel lenses, 90° dipole magnet for mass separation, Faraday cups for measuring beam intensities, and U.S. Department of Energy Journal of Undergraduate Research http://www.scied.science.doe.gov 77 an emittance measurement apparatus. Figure 1 illustrates the setup at ISTF-2. Different methods exist to measure emittance; at ISTF-2 emittance is measured using a slit-harp device, illustrated in Figure 2, which measures the ion beam spatial and angular distributions. The emittance device consists of a thin slit 0.1mm wide and a detector array, which is made up of 32 electrically isolated tungsten strips, located down-stream of the slit. The ion beam is sampled by the slit producing a sheet beamlet which is then allowed to drift freely towards the detector array located 400mm (15.75 inches) away from the slit. The slit-detector is stepped across the beam and angular distribution measurements at each step are recorded. Thus, the beam distribution as a function of position and angle is obtained. The recorded data is saved in text or Microsoft Excel format. The ISTF-2 emittance measurement apparatus consists of two such step-motor driven slit-detector units for determining the transverse emittance of an ion beam in the x and y directions, respectively. Einzel Lens Mass Analyzing Magnet Faraday Cup Ion Source Motor Generator High Voltage Insulator Faraday Cup High-Voltage Interlocked Sliding Door Fence Figure 1. Schematic drawing of the HRIBF Ion Source Test Facility — (ISTF-2). Figure 2. Schematic drawing of the “Slit-Harp” emittance measuring device. 78 An emittance analysis program using the Mathematica language has been in use; however it is limited to users who have knowledge of Mathematica. In addition the processing time is relatively long and requires adjustments to scripts for every emittance data file. This study describes an Emittance Evaluation Program (EEP) developed in Microsoft Visual Basic .net (VB.NET) for general users. EEP is based on the previous Mathematica program and implements the external software gnuplot [3] for 3-dimensional plots and graphs. The software makes possible data import for text and Microsoft Excel formats, manual background exclusion, Self-Consistent Unbiased Elliptical Exclusion (SCUBEEx) algorithms [4] for noise reduction, emittance calculation, visualization, and report generation. The algorithms used within the software are discussed in detail in the next section. EEP allows the analysis of emittance data without the need for manual programming. The beam profile, root-mean-square (RMS) emittance, Twiss parameters, and fractional emittances of an ion beam are calculated simultaneously. Figure 3 and Figure 4 illustrate the features and functions of the EEP software. The analysis results can be saved either as text or in Microsoft Word format. The Microsoft Word format includes RMS emittance and beam profile graphs. Algorithms Emittance Measurement Device High Voltage Platform Software Design The experimental emittance data are stored as an array of beam intensities I(xi, x’j) measured from each detector strip at each motor position, where xi is the ith slit position (i = 1 to N, N being the total number of the selected slit positions), and x’j corresponds to the divergence angle of the jth (j = 1 to 32) detector. The data are displayed in a 3D graph, as shown in Figure 3, and in Excel style grids for manual inspection. Before emittance evaluation, the data are inspected manually and, if needed, subjected to background Figure 3. A screenshot of the Result Summary page of the emittance evaluation program. The graphs shown include a 3D plot of the raw or filtered emittance data (upper left), the beam profile plot with Gaussian fit (lower left), fractional emittance contours (upper right), and the RMS ellipse (lower right). Listed on the right are the calculated 90% fractional and RMS emittance values for the raw or filtered data and the Gaussian fit results. U.S. Department of Energy Journal of Undergraduate Research http://www.scied.science.doe.gov (6) (7) where Itotal is the total ion beam current detected: (8) and (xc, x’c) is the centroid of beam distribution calculated using the following formulas: Figure 4. A screenshot of the SCUBBEx analysis. The plots shown are the RMS (upper right) and 90% fractional (lower right) emittance versus filter ellipse, and the corresponding fractions of the total ion beam included (upper left) and excluded (lower left) by the filter ellipses. The RMS and fractional emittance values for each filter ellipse are also listed on the right. subtraction using data taken under the same conditions without the ion beam. In order to compensate for variations in beam intensity during a particular measurement, the data set can be normalized using the slit current obtained at each slit position. The slit-detector assembly is driven by a 1.8° stepping motor with a minimum linear step of 0.015mm per 0.9°. The angular step is the angle between two adjacent strips in the emittance detector array (2.285mrad). These constants are used in the algorithms throughout the software. The algorithms for evaluating beam emittances in the xx’-plane are described below. Similar algorithms hold for the yy’-plane. The beam profile is calculated by summing, for each position xi, the ion currents on all 32 strips and stored in an array of variables Iprofile(xi): (1) Gaussian fit can be performed on the resulting beam profile data using the following function: (2) where a is the baseline, b is the amplitude, c is the mean, and σ is the standard deviation. The full width at half maximum (FWHM) of the ion beam can then be calculated as (3) The calculated beam profile is displayed together with the Gaussian fit in EEP, as shown in Figure 3. The RMS emittance of an ion beam is defined as: (4) where <x2>, <x’2> and <xx’> are the second moments of the beam distribution in the xx’-plane: (5) (9) (10) The RMS distribution can be represented by an ellipse with an area equal to the RMS emittance multiplied by π: (11) where the coefficients are the Twiss parameters given by: (12) Equal-intensity contour graphs depicting the emittances corresponding to given fractions of the total ion beam distribution are also calculated. The area within each contour divided by π is taken as the emittance for that particular beam fraction. The calculated RMS emittance, Twiss parameters, and fractional beam emittances for 10–90% of the total beam, together with the corresponding RMS ellipse and emittance contour plots, are summarized in the Result Summary page in EEP, as illustrated in Figure 3. DISCUSSION AND CONCLUSIONS Noise exclusion is essential for accurate determination of beam emittance values. Non-zero background noise in emittance data can have a large impact on the values of RMS-emittances derived from the data. The SCUBEEx method developed by Stockli et al. [4] is employed in EEP with slight modifications for unbiased noise reduction. This method applies successively smaller exclusion ellipses around the centroid of the emittance data. Any data points falling outside of an ellipse are assumed to be background noise. The RMS and fractional emittances are then calculated using the data within the ellipse. Figure 4 illustrates an example of the SCUBEEx process: the calculated RMS and 90% fractional emittances decrease with decreasing ellipse size as more noise is excluded, reaching a flat region where the emittance value stays relatively the same because most of the background is excluded. When the ellipse is further decreased the emittance values will decrease sharply as the ellipse begins to cut out the actual ion beam. It can be seen in Figure 4, U.S. Department of Energy Journal of Undergraduate Research http://www.scied.science.doe.gov 79 the 90% fractional emittance shows a clear plateau between ellipses of 10–120mm-mrad, while a plateau in the RMS emittance is reached between 10–60mm-mrad. Figure 5 presents a side-by-side comparison of a data set prior to and after the SCUBEEx filtering. The left graph shows the raw data with background currents, which give a RMS emittance of 16.6π-mm-mrad. The right graph displays the data after excluding the background current with a filter ellipse of 120mm-mrad. It clearly shows that most of the background noise is removed while the real beam distribution is intact. The resulting RMS emittance is reduced to 4.3π-mm-mrad. After SCUBEEx analysis, the RMS and 90% fractional emittances of the ion beam are determined as the average emittance values in the corresponding plateau or flat regions of the SCUBEEx results. EEP allows users to easily view and select the plateau region for final emittance evaluation. A user can examine the SCUBEEx results shown in Figure 4 and select the emittance values in the Figure 5. Equal-intensity contour plots generated by EEP for an experimental emittance dataset before (left graph) and after (right graph) noise reduction using a 120-mm-mrad filter ellipse. plateau region using simple mouse clicks from the list supplied on the right; the average RMS and fractional emittances and their standard deviation are calculated from the selected values and the results are displayed immediately, as illustrated in Figure 6. The main functions of the software package, including data input and visualization, data processing, SCUBEEx, emittance evaluation, and results output, have been completed. The codes have been tested with experimental emittance data and shown to be accurate. During the RIA 2006 Summer School [5] held at HRIBF, EEP was used in the Hands-on-Program on Ion Source Beam Emittance for ion beam emittance evaluation and the analysis results from EEP were in excellent agreement with the Mathematica results. The installation of EEP is simple and in standard (MSI) Microsoft Installation Package format. The EEP software package requires the .net framework (which most computers running Microsoft XP software have) and Microsoft Office 2003 for report and graphic functionality. 80 Figure 6. As the final step to obtain the RMS and 90% fractional emittance, a screenshot shows the selected plateau region (high-lighted area) in the SCUBEEx results with the mean and standard deviations of the selected RMS and 90% fractional emittance values displayed in the box below.. EEP provides a simplified, fast tool for comprehensive emittance analysis. The interactive interface of the EEP software allows the user to easily perform emittance analysis without performing manual calculations and formula derivations. Future EEP software enhancements include polynomial and cubic spline interpolation of data points, interpolated data visualization, and multiple emittance data file capabilities for cross reference or comparison. Such enhancements would provide additional capabilities for accurate emittance evaluation and further simplify the emittance evaluation of ion beams. ACKNOWLEDGMENTS This research was conducted at Oak Ridge National Laboratory. I thank the U.S. Department of Energy Office of Science for allowing me to participate in the CCI program to further my studies, broaden my perspective on my science field, and to have a unique and highly productive learning experience. Special thanks to my mentor Yuan Liu for her patience, guidance, and teaching. I would also like to thank Daniel Stracener of the Physics Division, Paul Mueller also of the Physics Division for his advice and cordial support, and Kathy Ketner, Cheryl Terry, and Lee Vang of the Oak Ridge Institute for Science and Education for their organization and coordination. U.S. Department of Energy Journal of Undergraduate Research http://www.scied.science.doe.gov REFERENCES [1] Stanley Humphries Jr., “Charged Particle Beams,” John Wiley and Sons, 1990. [2] J. Nolen and M. Portillo, “Charged Particle Optics” in The Optics Encyclopedia – Basic Foundations and Practical Applications, Vol. 1, Thomas G. Brown, et al. (eds.), WileyVCH, Berlin, 2003. [3] gnuplot ver. 4.0, Peter Mikulík and Ethan Merritt, et al. [4] M.P. Stockli, R. F. Welton, R. Keller, A. P. Letchford, R. W. Thomae, and J. W. G. Thomason, AIP Conference Proceedings, Volume 639, pp. 135-159, 2002. [5] Oak Ridge Associated Universities, ”Fifth RIA Summer School on Exotic Beam Physics”, July 2006, “http://www. orau.org/ria/ria06/program.htm” U.S. Department of Energy Journal of Undergraduate Research http://www.scied.science.doe.gov 81
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